Cargando…
Stochastic Resonance with Colored Noise for Neural Signal Detection
We analyze signal detection with nonlinear test statistics in the presence of colored noise. In the limits of small signal and weak noise correlation, the optimal test statistic and its performance are derived under general conditions, especially concerning the type of noise. We also analyze, for a...
Autores principales: | Duan, Fabing, Chapeau-Blondeau, François, Abbott, Derek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954722/ https://www.ncbi.nlm.nih.gov/pubmed/24632853 http://dx.doi.org/10.1371/journal.pone.0091345 |
Ejemplares similares
-
Fisher Information as a Metric of Locally Optimal Processing and Stochastic Resonance
por: Duan, Fabing, et al.
Publicado: (2012) -
Weak-Periodic Stochastic Resonance in a Parallel Array of Static Nonlinearities
por: Ma, Yumei, et al.
Publicado: (2013) -
Capacity of very noisy communication channels based on Fisher information
por: Duan, Fabing, et al.
Publicado: (2016) -
Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance
por: Xu, Liyan, et al.
Publicado: (2017) -
Stochastic resonance: from suprathreshol stochastic resonance to stochatsic signal quantization
por: Mcdonnell, Mark D, et al.
Publicado: (2008)